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Polymer Brush Data Processor CORY BETHRANT AUGUST 12 ND , 2016 DR. CHRISTOPHER OBER WEI-LIANG CHEN Cornell University 2016

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Page 1: Cory Bethrant Cornell Presentation

Polymer Brush Data Processor

CORY BETHRANTAUGUST 12ND, 2016

DR. CHRISTOPHER OBERWEI-LIANG CHEN

Cornell University 2016

Page 2: Cory Bethrant Cornell Presentation

Introduction

What is a polymer brush?◦ Polymers with one end tethering to the surface.

Properties◦ Ordered structure – due to close proximity◦ Bonds are under tension

Cornell University 2016

Page 3: Cory Bethrant Cornell Presentation

Polymer Brushes

With Charges, it could combine advantages of normal polyelectrolytes.◦ Anti-fouling ◦ Anti-microbial◦ Facilitate transportation

More stretching occurs due to charge◦ Stimuli-responsive material

Unfortunately it may be unstable◦ Additional Stretching causes the instability of the material

ACS Appl. Mater. Interfaces 2013, 5, 1400−1407

Kimberly Simancas, “Entropic death of polyelectrolyte brushes: chain stretching, bond scission and

surfactant complexation”, Ph.D. Thesis, University of Freiburg, IMTEK, Freiburg im Breisgau, July 2011.

Cornell University 2016

Page 4: Cory Bethrant Cornell Presentation

4

Patterned CYTOP by photolithography

Hydroflouroether Lift-off

Patterned brush After HFE lift-off Patterned brush After Toluene wash and bath overnight

Creation of Bottom Up Template

Polymerization

Use toluene wash to remove free PMMA

Cornell University 2016

Page 5: Cory Bethrant Cornell Presentation

CYTOP Film Thickness

(in nm)

RPM in spin cycle

Cornell University 2016

Illustration of spin coating process

Page 6: Cory Bethrant Cornell Presentation

Surface Electron Microscopy Images of CYTOP Template

Sample: WC004Line: 500nm

Sample: WC014_2Line: 500nm

Cornell University 2016

Patterned CYTOP

Page 7: Cory Bethrant Cornell Presentation

Atomic Force Microscopy

An Atomic Force Microscope operates using touch similar to a person feeling for a light switch in the dark.

2-D View of 3um Line

3-D View of 3um Line

Cornell University 2016

Depicts How AFM Operates

Page 8: Cory Bethrant Cornell Presentation

The Problem?

Processing AFM Data takes a substantial amount of time.◦ 17 Lines Scanned = 1 Day of Data Processing◦ 5 Lines Scanned = 7 Hours

Human Error Likely Monotonous Requires Several Programs and Operations

Cornell University 2016

Page 9: Cory Bethrant Cornell Presentation

Algorithm

◦ Determines the Slope of Each Dataset◦ Determines the First and Second Derivative of Dataset

◦ Using Numerical Approximation◦ Flag Whether the Slope is Positive or Negative◦ Saves Data Chunks of 5◦ Finds Left Border of Pattern Line Based off Sensitivity

◦ Once border is reached, a scan is performed in the left direction to locate the beginning of the left border.

◦ Finds Right Border of Pattern Line Based off Sensitivity◦ Once border is reached, a scan is performed in the right direction to

locate the end of the right border.◦ Baseline is average height of two borders◦ Height is calculated by subtracting baseline from max◦ Width is calculated by subtracting the right border values from the left◦ If error is recognized, scan is repeated with a decreasing sensitivity

number◦ Integral, Height and Width is Calculated

Demonstrates Program Accuracy

Cornell University 2016

Page 10: Cory Bethrant Cornell Presentation

Source Code, Output

https://github.com/corysmart/Polymer-Brush-Data-Processor Output.csv

Cornell University 2016

Page 11: Cory Bethrant Cornell Presentation

Data Processor Results

Cornell University 2016

Error Bars Denote Standard Deviation

Page 12: Cory Bethrant Cornell Presentation

Results

What was learned:oHow to operate the AFMoHow to operate the SEMoData ProcessingoResearch SkillsWhat was accomplished:oSuccessful Creation of C++ Data ProcessoroSuccessful Collection of AFM DataoOber Group Website Redesign

Cornell University 2016

Screenshot of Website

Page 13: Cory Bethrant Cornell Presentation

Acknowledgments•Prof. Ober

•Malcolm Thomas

•Steve Kriske

•Dr. Darren Dale

•Wei-Liang / Matthias Menzel

•Ober Lab

Cornell University 2016

(DMR-1460428 and DMR-1120296) (DMR-1205608)

Me, Matthias and Wei-Liang Ober Lab Group